A cross-departmental team is leading efforts to utilize machine learning for increased efficiency in heating and cooling MIT’s buildings.

The findings, based on a single electrochemical process, could help cut emissions from the hardest-to-decarbonize industries, such as steel and cement.

MIT system demonstrates greater than 100-fold improvement in energy efficiency and a 25-fold improvement in compute density compared with current systems.

Study shows that cities’ plans often won’t achieve their goals, but decarbonizing the local grid could make the difference.

Professor Koroush Shirvan, who recently won a prestigious award from the American Nuclear Society, pursues avenues to lower the costs of nuclear energy.

Battery power from electric vehicles to the grid could open a fast lane to a net-zero future.

A technique that transforms the metals’ microscopic structure may enable energy-efficient 3D printing of blades for gas turbines or jet engines.

Study uncovers overlooked environmental impacts of internet use by estimating associated carbon, land, and water footprints.

MIT serves as a laboratory for a multifaceted approach to address the Institute’s own contributions to climate change.

MIT researchers develop novel EV emissions model to quantify importance of vehicle charging patterns and impact of ambient temperature on EV emissions levels.